Based on 40 comparable players
Most women's college players come directly from high school hockey. Junior or HS season stats below (when available on Elite Prospects).
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-W PPG | Age-Adjusted |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Toronto Furies | CWHL | 24 | 6 | 8 | 14 | 0.583 | N/A | N/A |
| 2017-18 | MoDo Hockey | SDHL | 36 | 25 | 30 | 55 | 1.528 | 1.7868 | 1.7058 |
| 2018-19 | MoDo Hockey | SDHL | 36 | 27 | 37 | 64 | 1.778 | 2.0791 | 1.9059 |
| 2019-20 | Brynäs IF | SDHL | 36 | 23 | 22 | 45 | 1.250 | 1.4619 | 1.4619 |
| 2020-21 | Luleå HF | SDHL | 36 | 29 | 37 | 66 | 1.833 | 2.1440 | 2.1440 |
| 2021-22 | Toronto Six | PHF | 11 | 4 | 3 | 7 | 0.636 | N/A | N/A |
| 2022-23 | Toronto Six | PHF | 24 | 9 | 12 | 21 | 0.875 | N/A | N/A |
| 2023-24 | Toronto Six | PHF | 24 | 9 | 12 | 21 | 0.875 | N/A | N/A |
| 2024-25 | Minnesota Frost | PWHL | 30 | 9 | 10 | 19 | 0.633 | N/A | N/A |
| 2025-26 | — | PWHL | 30 | 1 | 8 | 9 | 0.300 | N/A | N/A |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2015-16 | Minnesota Duluth | WCHA-W | SR | 37 | 19 | 19 | 38 | 1.027 |
| 2014-15 | Minnesota Duluth | WCHA-W | JR | 32 | 3 | 3 | 6 | 0.188 |
| 2013-14 | UConn | HEA-W | SO | 35 | 10 | 17 | 27 | 0.771 |
| 2012-13 | UConn | HEA-W | FR | 34 | 10 | 7 | 17 | 0.500 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Abbey Luth | 2016-17 · 3.26 PPG | 1.107 | William Smith | NEHC |
| Nicole Unsworth | 2014-15 · 3.75 PPG | 0.960 | SUNY Plattsburgh | SUNYAC |
| Sophie Rausch | 2018-19 · 2.72 PPG | 1.346 | Hamline | MIAC |
| Sophia Hess | 2024-25 · 1.86 PPG | 1.935 | Wisconsin-River Falls | WIAC |
| Hailey Holland | 2015-16 · 3.67 PPG | 1.036 | Gustavus Adolphus | MIAC |
Women's college hockey projections draw primarily on high school and junior stats when available. Because most women go directly from HS to college, projections with limited pre-college data use conference-based priors.
NCAAe-W factors are derived from historical pre-college→NCAA-W transitions. For many players, projection confidence is lower than men's due to sparse pre-college tracking.